YNAO OpenIR  > 其他
GPU-Based High-performance Imaging for Mingantu Spectral RadioHeliograph
Mei Y(梅盈)1,2,3,4; Wang F(王锋)1,2,3,4; Wang, Wei5; Chen, Linjie5; Liu, Yingbo6; Deng, Hui2,3; Dai, Wei3; Liu, Cuiyin3; Yan, Yihua5
Source PublicationPUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
2018-01
Volume130Issue:983
DOI10.1088/1538-3873/aa9608
Contribution Rank第1完成单位
Indexed BySCI
KeywordInstrumentation: Interferometers Sun: Fundamental Parameters Techniques: Image Processing Methods: Statistical
Abstract

As a dedicated solar radio interferometer, the MingantU SpEctral RadioHeliograph (MUSER) generates massive observational data in the frequency range of 400 MHz-15 GHz. High-performance imaging forms a significantly important aspect of MUSER's massive data processing requirements. In this study, we implement a practical high-performance imaging pipeline for MUSER data processing. At first, the specifications of the MUSER are introduced and its imaging requirements are analyzed. Referring to the most commonly used radio astronomy software such as CASA and MIRIAD, we then implement a high-performance imaging pipeline based on the Graphics Processing Unit technology with respect to the current operational status of the MUSER. A series of critical algorithms and their pseudo codes, i.e., detection of the solar disk and sky brightness, automatic centering of the solar disk and estimation of the number of iterations for clean algorithms, are proposed in detail. The preliminary experimental results indicate that the proposed imaging approach significantly increases the processing performance of MUSER and generates images with high-quality, which can meet the requirements of the MUSER data processing.

Funding ProjectNational Key Research and Development Program of China[2016YFE0100300] ; National Natural Science Foundation of China (NSFC)[U1531132] ; National Natural Science Foundation of China (NSFC)[U1631129] ; National Natural Science Foundation of China (NSFC)[U1231205] ; Chinese Academy of Sciences (CAS)[U1531132] ; Chinese Academy of Sciences (CAS)[U1631129] ; Chinese Academy of Sciences (CAS)[U1231205] ; National Natural Science Foundation of China[11403009] ; National Natural Science Foundation of China[11463003] ; National Natural Science Foundation of China[11703010] ; National Natural Science Foundation of China[1177301]
Funding OrganizationNational Key Research and Development Program of China[2016YFE0100300] ; National Natural Science Foundation of China (NSFC)[U1531132, U1631129, U1231205] ; Chinese Academy of Sciences (CAS)[U1531132, U1631129, U1231205] ; National Natural Science Foundation of China[11403009, 11463003, 11703010, 1177301]
Language英语
Subject Area天文学 ; 计算机科学技术
MOST Discipline Catalogue理学 ; 理学::天文学 ; 工学 ; 工学::计算机科学与技术(可授工学、理学学位)
SubtypeArticle
PublisherIOP PUBLISHING LTD
Publication PlaceTEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
ISSN0004-6280
URL查看原文
WOS IDWOS:000417563000003
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS KeywordSynthesis Radio Telescope ; Miriad
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/12197
Collection其他
Corresponding AuthorWang F(王锋)
Affiliation1.Yunnan Observatories, Chinese Academy of Sciences P.O.Box 110, Kunming 650011, China
2.Center of Astrophysics, Guangzhou University No. 230, Waihuanxi Rd, Panyu District, Guangzhou 510006, China
3.Key Lab of Computer Technology Application of Yunnan Province, Kunming University of Science and Technology No.727 South Jingming Rd., Chenggong District, Kunming 650500, China
4.University of Chinese Academy of Sciences 19A Yuquan Rd., Shijingshan District, Beijing 100049, China
5.National Astronomical Observatory, Chinese Academy of Sciences 20A Datun Rd., Chaoyang District, Beijing 100012, China
6.Yunnan Academy of Scientific & Technical Information No.246 People's East Rd., Kunming 650051, China
First Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Corresponding Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Mei Y,Wang F,Wang, Wei,et al. GPU-Based High-performance Imaging for Mingantu Spectral RadioHeliograph[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,2018,130(983).
APA Mei Y.,Wang F.,Wang, Wei.,Chen, Linjie.,Liu, Yingbo.,...&Yan, Yihua.(2018).GPU-Based High-performance Imaging for Mingantu Spectral RadioHeliograph.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,130(983).
MLA Mei Y,et al."GPU-Based High-performance Imaging for Mingantu Spectral RadioHeliograph".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC 130.983(2018).
Files in This Item:
File Name/Size DocType Version Access License
GPU-Based High-perfo(1975KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Mei Y(梅盈)]'s Articles
[Wang F(王锋)]'s Articles
[Wang, Wei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Mei Y(梅盈)]'s Articles
[Wang F(王锋)]'s Articles
[Wang, Wei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Mei Y(梅盈)]'s Articles
[Wang F(王锋)]'s Articles
[Wang, Wei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: GPU-Based High-performance Imaging for Mingantu Spectral RadioHeliograph.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.